The screenshots were taken on different sessions.
The entire sessions are included on the screenshots.
I lost the original prompts, so I had to reconstruct them, and still managed to reproduce.
The "compressed" version is actually longer! Emojis and abbreviations use more tokens than common words.
The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Wed, 21 Sep 2022 till Thu, 21 Sep 2023.
Only first 1000 GitHub users according to the count of followers are taken. This is because of limitations of GitHub search. Sorting algo in pseudocode:
githubUsers
.filter(user => user.followers > 1000)| // | |
| // _oo0oo_ | |
| // o8888888o | |
| // 88" . "88 | |
| // (| -_- |) | |
| // 0\ = /0 | |
| // ___/`---'\___ | |
| // .' \\| |// '. | |
| // / \\||| : |||// \ | |
| // / _||||| -:- |||||- \ |
@版本 2.0.0
譯注：此翻譯版，主要給不能流利的讀英文的人看，相關專有名詞還是保留原文。翻譯不好地方請協助pull request.
此repository包含了一些前端開發的面試問題，來審查一個有潛力的面試者。這並不是建議你對同一個面試者問上所有的問 (那會花費好幾小時)。從列表中挑幾個題目，應該就夠幫助你審查面試者是否擁有你需要的技能。
Rebecca Murphey 的 Baseline For Front-End Developers 也是一篇很棒且值得讀的文章在你開始面試之前。
| /* | |
| Copy this into the console of any web page that is interactive and doesn't | |
| do hard reloads. You will hear your DOM changes as different pitches of | |
| audio. | |
| I have found this interesting for debugging, but also fun to hear web pages | |
| render like UIs do in movies. | |
| */ | |
| const audioCtx = new (window.AudioContext || window.webkitAudioContext)() |
| #-------------------------- | |
| # USER-SPECIFIED DATA | |
| #-------------------------- | |
| # Tune these parameters | |
| num_classes = 2 | |
| image_shape = (160, 576) | |
| EPOCHS = 40 | |
| BATCH_SIZE = 16 |
##VGG19 model for Keras
This is the Keras model of the 19-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
Visualising data helps in building a much deeper understanding of the data and fastens analytics around the data. There are several mature paid products available in the market. Recently, I explored an open-source product name Apache-Superset which I found a very upbeat product in this space. Some prominent features of Superset are:
After reading about Superset, I wanted to try it, and as Superset is a python programming language based project, we can easily install it using pip, but I decided to set it up as a container based on Docker. Apache-Superset GitHub Repo contains code for building and running Superset as a container. Since I wan
createElement.js lets document.createElement use CSS selectors.
This is a pretty useful library for building out DOM elements. The whole thing runs on one regex and a for loop, so it’s plenty fast. The script is 300 bytes when compressed and gzipped. For 524 bytes (advanced), it includes nesting support and can generate entire DOM hierarchies, including text nodes.
document.createElement(); // generates <div />